Samu-Ville Pällihttps://orcid.org/0000-0003-3775-4423,1 Aleksi Tamminen,1 Paavo Hiltunen,1 Sazan Rexhepi,1 Marlene Bonmann,2 Tomas Bryllert,2 Duncan A. Robertson,3 Juha Ala-Laurinaho,1 Jan Stake,2 Zachary Taylor1
1Aalto Univ. (Finland) 2Chalmers Univ. of Technology (Sweden) 3Univ. of St. Andrews (United Kingdom)
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We present recent developments of a standoff imaging system based on a frequency-diverse phase hologram and deep neural networks. The single-pixel imaging system operates in a monostatic configuration consisting of a 340-GHz FMCW radar and a frequency-diverse phase hologram to interrogate the radar down range direction with spatially varying, frequency-dependent field patterns. The measured back-reflected signal contains spatial reflectivity information from the target, and the fast chirp rate of the radar enables real-time imaging performance. Together with simultaneously acquired visible-light images, a deep neural network integrated into the submillimeter-wave data readout electronics can map the received signal onto a 2D image without mechanical or active electrical beam scanning. In experiments, we have collected submillimeter-wave and visible-light data of a moving target in the region of interest with a 60-Hz frame rate. The results suggest that the system can image the moving target with a resolution comparable to the theoretical diffraction limit. The minimal hardware complexity and good imaging performance of the demonstrated computational submillimeter-wave imaging system support its potential as a cost-effective and easily deployable solution for various imaging applications.
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Samu-Ville Pälli, Aleksi Tamminen, Paavo Hiltunen, Sazan Rexhepi, Marlene Bonmann, Tomas Bryllert, Duncan A. Robertson, Juha Ala-Laurinaho, Jan Stake, Zachary Taylor, "Imaging experiments with a 340-GHz FMCW radar and frequency-diverse holograms," Proc. SPIE 12535, Radar Sensor Technology XXVII, 125350M (14 June 2023); https://doi.org/10.1117/12.2663757